A novel fuzzy linear feature extraction for hyperspectral image classification

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2006, Pages 3878-3881

  Yang, Jinn Min ^a   Yu, Pao Ta ^a   Kuo, Bor Chen ^b   Hsieh, Tien Yu ^b  

^a NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

^b NATIONAL TAICHUNG UNIVERSITY OF EDUCATION   (Taiwan)

Author keywords

Fuzzy linear discriminant analysis; Hyperspectral data classification

Indexed keywords

DATA REDUCTION; DISCRIMINANT ANALYSIS; FUZZY LOGIC; IMAGE CLASSIFICATION; IMAGE RECONSTRUCTION;

FUZZY LINEAR DISCRIMINANT ANALYSIS; FUZZY LINEAR FEATURE EXTRACTION; LINEAR DISCRIMINANT ANALYSIS (LDA); NONPARAMETRIC WEIGHTED FEATURE EXTRACTION (NWFE);

FEATURE EXTRACTION;

EID: 34948857014     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2006.999     Document Type: Conference Paper

References (5)

1. K. Fukunaga, Introduction to Statistical Pattern Recognition, San Diego, CA:Academic Press, 1990.
2. J. M. Keller, M. R. Gray, and J. A. Givens, Jr., "A Fuzzy K-Nearest Neighbor Algorithm", IEEE Transactions on Systems, Man, and Cybernetics," Vol. 15, No. 4, pp. 580-58,July/August, 1985
3. B-C. Kuo and D.A. Landgrebe, "Nonparametric Weighted Feature Extraction for Classification," IEEE Trans. on Geoscience and Remote Sensing, vol. 42, no. 5, pp. 1096-1105, May 2004.
4. Duin, R. P. W., A Matlab Toolbox for Pattern Recognition, 2004. Software available at http://www.prtools.org/
5. Landgrebe, D. A., Signal Theory Methods in Multispectral Remote Sensing, John Wiley and Sons, Hoboken, NJ: Chichester, 2003